A method of searching for supernova candidates from massive galaxy spectra

	A method of searching for supernova candidates from massive galaxy spectra
	Tu LiangPing 1,2,3; Luo ALi 2; Wu FuChao1 ; Zhao YongHeng 2
发表期刊	SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
	2010-10-01
卷号	53 期号:10 页码:1928-1938
文章类型	Article
摘要	This paper presents a novel spectroscopic method for searching for supernova candidates from massive galaxy spectra, which is expected to be applied to the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). This method includes mainly five steps. The first step is spectral preprocessing, including removing spectral noise using wavelet transform, spectral de-redshift, etc. The second step is decomposition of galactic spectra; we can get the galaxy component and supernova component and calculate the Supernova Statistical Characterization Vector (SNSCV) of each galaxy spectrum. The third step is to decrease samples in all the galaxy spectral datasets according to SNSCV of each spectrum, and to use the LOF (Local Outlier Factor)-based outlier detection algorithm to obtain the preliminary selected spectral data. The fourth step is template matching by cross-correlation, according to the matched results we get the secondary selected spectral data. Finally, we choose the final supernova candidates manually through checking the spectral features characteristic of a supernova. By the spectroscopic method proposed in this paper, thirty-six supernova candidates have been detected in a dataset including 294843 galaxy spectra from the Sloan Digital Sky Survey Data Release 7. Nine of these objects are detected first and the other twenty-seven have been reported in other publications (fifteen of which are detected and reported first by us). The twenty-four new super-nova candidates include twenty la type supernova candidates, three Ic type supernova candidates and one II type supernova candidate.
关键词	Supernovae Decomposition Of Galaxy Spectrum Sample Decrease Local Outlier Factor Cross-correlation Matching
WOS标题词	Science & Technology ; Physical Sciences
关键词[WOS]	DIGITAL SKY SURVEY ; SURVEY-II ; IA SUPERNOVAE ; DATA RELEASE ; REDSHIFT ; TELESCOPE ; CLASSIFICATION ; SPECTROSCOPY
收录类别	SCI
语种	英语
WOS研究方向	Physics
WOS类目	Physics, Multidisciplinary
WOS记录号	WOS:000281860600024
引用统计	被引频次：10[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/2951
专题	多模态人工智能系统全国重点实验室_机器人视觉
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Natl Astron Observ, Key Lab Opt Astron, Beijing 100012, Peoples R China 3.Univ Sci & Technol Liaoning, Sch Sci, Anshan 144051, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Tu LiangPing,Luo ALi,Wu FuChao,et al. A method of searching for supernova candidates from massive galaxy spectra[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,2010,53(10):1928-1938.
APA	Tu LiangPing,Luo ALi,Wu FuChao,&Zhao YongHeng.(2010).A method of searching for supernova candidates from massive galaxy spectra.SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,53(10),1928-1938.
MLA	Tu LiangPing,et al."A method of searching for supernova candidates from massive galaxy spectra".SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY 53.10(2010):1928-1938.